{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from vgg16 import VGG16\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "%load_ext autoreload"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading weights from vgg16_weights_tf_dim_ordering_tf_kernels.h5\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_14 (Conv2D)           (None, 224, 224, 64)      1792      \n",
      "_________________________________________________________________\n",
      "conv2d_15 (Conv2D)           (None, 224, 224, 64)      36928     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_6 (MaxPooling2 (None, 112, 112, 64)      0         \n",
      "_________________________________________________________________\n",
      "conv2d_16 (Conv2D)           (None, 112, 112, 128)     73856     \n",
      "_________________________________________________________________\n",
      "conv2d_17 (Conv2D)           (None, 112, 112, 128)     147584    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_7 (MaxPooling2 (None, 56, 56, 128)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_18 (Conv2D)           (None, 56, 56, 256)       295168    \n",
      "_________________________________________________________________\n",
      "conv2d_19 (Conv2D)           (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "conv2d_20 (Conv2D)           (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_8 (MaxPooling2 (None, 28, 28, 256)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_21 (Conv2D)           (None, 28, 28, 512)       1180160   \n",
      "_________________________________________________________________\n",
      "conv2d_22 (Conv2D)           (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv2d_23 (Conv2D)           (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "max_pooling2d_9 (MaxPooling2 (None, 14, 14, 512)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_24 (Conv2D)           (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv2d_25 (Conv2D)           (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv2d_26 (Conv2D)           (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "max_pooling2d_10 (MaxPooling (None, 7, 7, 512)         0         \n",
      "_________________________________________________________________\n",
      "flatten_2 (Flatten)          (None, 25088)             0         \n",
      "_________________________________________________________________\n",
      "dense_4 (Dense)              (None, 4096)              102764544 \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 4096)              0         \n",
      "_________________________________________________________________\n",
      "dense_5 (Dense)              (None, 4096)              16781312  \n",
      "_________________________________________________________________\n",
      "dropout_4 (Dropout)          (None, 4096)              0         \n",
      "_________________________________________________________________\n",
      "dense_6 (Dense)              (None, 1000)              4097000   \n",
      "=================================================================\n",
      "Total params: 138,357,544\n",
      "Trainable params: 0\n",
      "Non-trainable params: 138,357,544\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "weights_file = 'vgg16_weights_tf_dim_ordering_tf_kernels.h5'\n",
    "\n",
    "model = VGG16()\n",
    "model.build((224, 224, 3))\n",
    "model.load_weights(weights_file)\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XI1KLuRWIcH5+7tfzvvhYpDQwzVskJHfHmi+cSSlSnTdQirkfMYUuUENUhEDNSmxg6go3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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x209eaf59320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from PIL import Image\n",
    "from imagenet_classes import class_names\n",
    "\n",
    "img = Image.open('laska.png').convert('RGB').resize((224,224))\n",
    "x = np.asarray(img)\n",
    "plt.imshow(x)\n",
    "x = np.array([x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "probs = model.predict(x)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "p = np.argmax(probs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "weasel\n"
     ]
    }
   ],
   "source": [
    "print(class_names[p])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_27 (Conv2D)           (None, 224, 224, 64)      1792      \n",
      "_________________________________________________________________\n",
      "conv2d_28 (Conv2D)           (None, 224, 224, 64)      36928     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_11 (MaxPooling (None, 112, 112, 64)      0         \n",
      "_________________________________________________________________\n",
      "conv2d_29 (Conv2D)           (None, 112, 112, 128)     73856     \n",
      "_________________________________________________________________\n",
      "conv2d_30 (Conv2D)           (None, 112, 112, 128)     147584    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_12 (MaxPooling (None, 56, 56, 128)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_31 (Conv2D)           (None, 56, 56, 256)       295168    \n",
      "_________________________________________________________________\n",
      "conv2d_32 (Conv2D)           (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "conv2d_33 (Conv2D)           (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_13 (MaxPooling (None, 28, 28, 256)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_34 (Conv2D)           (None, 28, 28, 512)       1180160   \n",
      "_________________________________________________________________\n",
      "conv2d_35 (Conv2D)           (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv2d_36 (Conv2D)           (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "max_pooling2d_14 (MaxPooling (None, 14, 14, 512)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_37 (Conv2D)           (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv2d_38 (Conv2D)           (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv2d_39 (Conv2D)           (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "max_pooling2d_15 (MaxPooling (None, 7, 7, 512)         0         \n",
      "_________________________________________________________________\n",
      "global_average_pooling2d_1 ( (None, 512)               0         \n",
      "_________________________________________________________________\n",
      "activation_1 (Activation)    (None, 512)               0         \n",
      "=================================================================\n",
      "Total params: 14,714,688\n",
      "Trainable params: 0\n",
      "Non-trainable params: 14,714,688\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model2 = VGG16()\n",
    "model2.build((224,224,3), False)\n",
    "model2.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading weights from vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n"
     ]
    }
   ],
   "source": [
    "weights_file = 'vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5'\n",
    "\n",
    "model2.load_weights(weights_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'cat.jpg'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-10-15f463ef3d04>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mimagenet_classes\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mclass_names\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mimg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'cat.jpg'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconvert\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'RGB'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m224\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m224\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      5\u001b[0m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\chenwu\\Anaconda3\\lib\\site-packages\\PIL\\Image.py\u001b[0m in \u001b[0;36mopen\u001b[1;34m(fp, mode)\u001b[0m\n\u001b[0;32m   2408\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2409\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mfilename\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2410\u001b[1;33m         \u001b[0mfp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbuiltins\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"rb\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2411\u001b[0m         \u001b[0mexclusive_fp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2412\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'cat.jpg'"
     ]
    }
   ],
   "source": [
    "from PIL import Image\n",
    "from imagenet_classes import class_names\n",
    "\n",
    "img = Image.open('cat.jpg').convert('RGB').resize((224,224))\n",
    "x = np.asarray(img)\n",
    "plt.imshow(x)\n",
    "x = np.array([x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "probs = model2.predict(x)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "p = np.argmax(probs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor\n"
     ]
    }
   ],
   "source": [
    "print(class_names[p])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(512,)\n"
     ]
    }
   ],
   "source": [
    "print(probs.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_14 False\n",
      "conv2d_15 False\n",
      "max_pooling2d_6 False\n",
      "conv2d_16 False\n",
      "conv2d_17 False\n",
      "max_pooling2d_7 False\n",
      "conv2d_18 False\n",
      "conv2d_19 False\n",
      "conv2d_20 False\n",
      "max_pooling2d_8 False\n",
      "conv2d_21 False\n",
      "conv2d_22 False\n",
      "conv2d_23 False\n",
      "max_pooling2d_9 False\n",
      "conv2d_24 False\n",
      "conv2d_25 False\n",
      "conv2d_26 False\n",
      "max_pooling2d_10 False\n",
      "global_average_pooling2d_1 False\n",
      "activation_1 False\n"
     ]
    }
   ],
   "source": [
    "for layer in model2.model.layers:\n",
    "    print(layer.name, layer.trainable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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